Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
Malaysia suffered from several dengue epidemics with a highly contagious health threat in the last few decades. Analyses of the incidence number of dengue cases and the illegal dumpsite by using the Geographical Information System, GIS, standard deviational ellipse, SDE, produces a scientific-based...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
International Islamic University Malaysia (IIUM)
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/88132/1/SektiAminah2019_DengueRiskPredictioninIllegalDumpsite.pdf http://eprints.utm.my/id/eprint/88132/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.88132 |
---|---|
record_format |
eprints |
spelling |
my.utm.881322020-12-15T00:12:46Z http://eprints.utm.my/id/eprint/88132/ Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis Aminah, Sekti Zen, Irina Safitri Che’ Man, Noordini Al-Ashwal, Rania Hussien Shuid, Syafie HT101-395 Sociology, Urban Malaysia suffered from several dengue epidemics with a highly contagious health threat in the last few decades. Analyses of the incidence number of dengue cases and the illegal dumpsite by using the Geographical Information System, GIS, standard deviational ellipse, SDE, produces a scientific-based evidence of dengue map for the urbanized area of Iskandar Puteri, Johor State, Malaysia. A high incidence of dengue cases in the illegal dumpsite area was recognized in radius 200 to 1000 meter with the trend towards the east and west of the city with standard distance (STD) value 0.03. It was identified as a high spot area. It was noteworthy that illegal dumpsite has potential to be a predictive tool for dengue risk to prevent the outbreak. Furthermore, the study recognized the sites i.e. pedestrian walkway, roadside, abundant land and riverside as a spotted illegal dumpsite. Nevertheless, an increment about 40 percent out of the total cost to manage illegal dumpsite from 2011 to 2016 is showing the urgency in tackling this problem comprehensively. Close monitoring system on the sub- contractor of waste disposal collection works and having concentrated effort by involving the relevant government agencies are among crucial issues need to be tackled to solve dengue problem related with illegal dumpsite. International Islamic University Malaysia (IIUM) 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/88132/1/SektiAminah2019_DengueRiskPredictioninIllegalDumpsite.pdf Aminah, Sekti and Zen, Irina Safitri and Che’ Man, Noordini and Al-Ashwal, Rania Hussien and Shuid, Syafie (2019) Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis. Journal of Architecture, Planning & Construction Management, 9 (1). pp. 67-81. ISSN 2462-1460 blob:https://journals.iium.edu.my/0396a524-5285-49c4-9653-81406d678a98 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
HT101-395 Sociology, Urban |
spellingShingle |
HT101-395 Sociology, Urban Aminah, Sekti Zen, Irina Safitri Che’ Man, Noordini Al-Ashwal, Rania Hussien Shuid, Syafie Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis |
description |
Malaysia suffered from several dengue epidemics with a highly contagious health threat in the last few decades. Analyses of the incidence number of dengue cases and the illegal dumpsite by using the Geographical Information System, GIS, standard deviational ellipse, SDE, produces a scientific-based evidence of dengue map for the urbanized area of Iskandar Puteri, Johor State, Malaysia. A high incidence of dengue cases in the illegal dumpsite area was recognized in radius 200 to 1000 meter with the trend towards the east and west of the city with standard distance (STD) value 0.03. It was identified as a high spot area. It was noteworthy that illegal dumpsite has potential to be a predictive tool for dengue risk to prevent the outbreak. Furthermore, the study recognized the sites i.e. pedestrian walkway, roadside, abundant land and riverside as a spotted illegal dumpsite. Nevertheless, an increment about 40 percent out of the total cost to manage illegal dumpsite from 2011 to 2016 is showing the urgency in tackling this problem comprehensively. Close monitoring system on the sub- contractor of waste disposal collection works and having concentrated effort by involving the relevant government agencies are among crucial issues need to be tackled to solve dengue problem related with illegal dumpsite. |
format |
Article |
author |
Aminah, Sekti Zen, Irina Safitri Che’ Man, Noordini Al-Ashwal, Rania Hussien Shuid, Syafie |
author_facet |
Aminah, Sekti Zen, Irina Safitri Che’ Man, Noordini Al-Ashwal, Rania Hussien Shuid, Syafie |
author_sort |
Aminah, Sekti |
title |
Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis |
title_short |
Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis |
title_full |
Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis |
title_fullStr |
Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis |
title_full_unstemmed |
Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis |
title_sort |
dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis |
publisher |
International Islamic University Malaysia (IIUM) |
publishDate |
2019 |
url |
http://eprints.utm.my/id/eprint/88132/1/SektiAminah2019_DengueRiskPredictioninIllegalDumpsite.pdf http://eprints.utm.my/id/eprint/88132/ |
_version_ |
1687393529978945536 |
score |
13.211869 |